A Novel Mixture Model to Estimate the Time to Drug Effect Onset and Its Association with Covariates.

ABSTRACT:

Objective

Drugs take effect at different times in different individuals. Consequently, researchers seek to examine how the timing of the biological response to drugs may be affected by factors such as gender, genotypes, age, or baseline symptom scores.

Methods

Typically, studies measure symptoms immediately after the initiation of drug treatment and then at a sequence of later time points. In this study, we develop a statistical mixture model for analyzing such longitudinal data. Our method estimates the onset of drug effect and assesses the association between the probability distribution of the onset times and possible contributing factors. Our mixture model treats the timing of onset as missing for each individual but restricts it, for simplicity, to two possible onset po

SUBMITTER: Xu MY 

PROVIDER: S-EPMC12268351 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature